Search alternatives:
probes optimization » process optimization (Expand Search), robust optimization (Expand Search), property optimization (Expand Search)
selection algorithm » detection algorithm (Expand Search), detection algorithms (Expand Search)
models selection » model selection (Expand Search), models selected (Expand Search), node selection (Expand Search)
binary based » library based (Expand Search), linac based (Expand Search), binary mask (Expand Search)
based probes » based protein (Expand Search)
binary data » primary data (Expand Search), dietary data (Expand Search)
probes optimization » process optimization (Expand Search), robust optimization (Expand Search), property optimization (Expand Search)
selection algorithm » detection algorithm (Expand Search), detection algorithms (Expand Search)
models selection » model selection (Expand Search), models selected (Expand Search), node selection (Expand Search)
binary based » library based (Expand Search), linac based (Expand Search), binary mask (Expand Search)
based probes » based protein (Expand Search)
binary data » primary data (Expand Search), dietary data (Expand Search)
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Feature Selection for Microarray Data Classification Using Hybrid Information Gain and a Modified Binary Krill Herd Algorithm
Published 2021“…<div>Due to the presence of irrelevant or redundant data in microarray datasets, capturing potential patterns accurately and directly via existing models is difficult. …”
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IRBMO vs. feature selection algorithm boxplot.
Published 2025“…To adapt to the feature selection problem, we convert the continuous optimization algorithm to binary form via transfer function, which further enhances the applicability of the algorithm. …”
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The Pseudo-Code of the IRBMO Algorithm.
Published 2025“…To adapt to the feature selection problem, we convert the continuous optimization algorithm to binary form via transfer function, which further enhances the applicability of the algorithm. …”